Director - Data Modeling/Meta Data/Analytics & Governance - FMCG

- Bachelors degree in Computer Science, MIS, Business Management, or related field required; Advanced degree preferred

- 15+ years of related Information Technology and related business experience

- 7 - 10+ years data modeling and design experience

- 3 5+ years leading and supporting data governance activities in an organization; data catalog experience preferred

- 7 - 10+ years managing large teams - experience managing large global teams preferred

- Experience in Food/Beverage/Manufacturing or Consumer Products, industry preferred

- Demonstrated ability to establish relationships with senior business and IT leadership/management

- Demonstrated ability to effectively communicate with all levels of the organization

- Demonstrated flexibility to manage resources to plan, including effectively handling spikes in demand

- Strong financial management experience

- Solves highly complex, politically sensitive problems across teams

- Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels

- Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions

- Strong communication skills to meet with business, understand sometimes ambiguous,needs, and translate to clear, aligned requirements

- Able to work independently with business partners to understand requirements quickly, perform analysis and lead the design review sessions.

- Additionally, this role will be challenged to expand influence across the IT organization outside the confines of GD&A team - partnering with Enterprise Architecture and Data Integration teams to drive data standards for re-usability and integrity.

- Enterprise Data Design & Modeling: Direct baseline and investment teams to design, develop, and maintain, application, data warehousing, and reporting database structures supporting Enterprise/Global initiatives, including Enterprise Data Foundation (global Master Data Management, Enterprise Data Warehouse).

- Establish data standards and governance to promote data integrity, consistency, and re-usability, and drive cost efficiencies & business confidence. 

- Guide and enable innovation, such as Common Format and Data Distribution Hub, turning ideas into sustainable, robust implementations. 

- Provide resources to design and map out data integration for metric transformation/development (ETL).